https://github.com/jcsaputra/knn-vs-mlr-vs-polynomial-regression-for-avocado-sales-forecasting
This repository contains an analysis that compares the forecasting accuracy of three regression techniques—K-Nearest Neighbors (KNN), Multiple Linear Regression, and Polynomial Regression—to predict avocado sales in the U.S. Using a dataset from Kaggle, the study explores how each model performs in capturing the complex relationships between variab
https://github.com/jcsaputra/knn-vs-mlr-vs-polynomial-regression-for-avocado-sales-forecasting
Last synced: 9 months ago
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This repository contains an analysis that compares the forecasting accuracy of three regression techniques—K-Nearest Neighbors (KNN), Multiple Linear Regression, and Polynomial Regression—to predict avocado sales in the U.S. Using a dataset from Kaggle, the study explores how each model performs in capturing the complex relationships between variab
- Host: GitHub
- URL: https://github.com/jcsaputra/knn-vs-mlr-vs-polynomial-regression-for-avocado-sales-forecasting
- Owner: jcsaputra
- Created: 2024-11-01T11:52:03.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-03T09:44:08.000Z (about 1 year ago)
- Last Synced: 2025-01-19T05:37:21.160Z (11 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 4.95 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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